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2019 ACL ACL 2019

UdS-DFKI Participation at WMT 2019: Low-Resource (en-gu) and Coreference-Aware (en-de) Systems

Abstract

AbstractThis paper describes the UdS-DFKI submission to the WMT2019 news translation task for Gujarati–English (low-resourced pair) and German–English (document-level evaluation). Our systems rely on the on-line extraction of parallel sentences from comparable corpora for the first scenario and on the inclusion of coreference-related information in the training data in the second one.

🌉 Interdisciplinary Bridge — Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — comparable corpus mining
🐣 Hot Topic Early Bird — document-level translation
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio

Authors

Cristina España-Bonet , Dana Ruiter

Topics

Natural Language Processing > Understanding > Coreference Resolution Natural Language Processing > Applications > Machine Translation Natural Language Processing > Generation > Machine Translation Machine Learning > Learning Types > Multi-Lingual Learning Natural Language Processing > Applications > Coreference Resolution

Keywords

neural machine translation document-level translation coreference resolution low-resource language low-resource machine translation comparable corpus comparable corpus mining parallel sentence extraction
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